Gemini 3.5 Flash (high)
GoogleGeminiProprietary
Descripción
Gemini 3.5 Flash is Google's strongest agentic and coding model in the Flash series, delivering frontier-level performance at up to 4x the speed of comparable frontier models and often at less than half the cost. Built to execute complex, agentic workflows, it outperforms Gemini 3.1 Pro on coding and agentic benchmarks while leading in multimodal understanding. It supports a 1 million-token input context window with 64k output tokens and uses dynamic thinking by default.
Fecha de lanzamiento
2026-05-19
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video
Radar de capacidades
50
general
67
coding
92
reasoning
69
science
70
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 13 | 61.0 | LS |
| Ranking de codificación | 52 | 85.0 | AA |
| Ranking general | 24 | 88.0 | AA |
| Razonamiento matemático | 22 | 88.0 | LB |
| Ranking multimodal | 22 | 62.0 | LS |
| Razonamiento | 27 | 82.0 | LB |
| Ciencia | 32 | 87.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent
57.9%Aut.
Finance Agent v2
57.9%
Toolathlon
56.5%Aut.
Blueprint-Bench 2
33.6%Aut.
Code
DeepSWE 1.1
37.0%
Legal
Legal Agent Benchmark
0.8%
Long Context
MRCR v2 (8-needle)
26.6%Aut.
Math
LiveBench
75.0%
Multimodal
OSWorld-Verified
78.4%Aut.
Reasoning
CharXiv-R
84.2%Aut.
MCP Atlas
83.6%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
76.2%Aut.
ARC-AGI v2
72.1%Aut.
SWE-Bench ProPrinceton NLP (2024)
55.1%Aut.
Humanity's Last Exam
40.2%Aut.
Vision
MMMU-Pro
83.6%Aut.
Índices de evaluación AA
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.3
Gpqa(NYU + Cohere + Anthropic (2023))92.2
Lcr(Artificial Analysis)81.0
Terminalbench V2 178.7
Ifbench(Google Research (2023))76.3
Coding Index(Artificial Analysis)70.1
Scicode(UIUC + Argonne National Lab (2024))53.1
Intelligence Index(Artificial Analysis)52.0
Hle(Center for AI Safety + Scale AI (2025))42.7
Terminalbench Hard(Stanford × Laude Institute (2026))40.9
Tau Banking32.2
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Multimodal80
Spatial Reasoning70
Tool Calling70
Vision70
Long Context60
Math60
Reasoning60
Finance60
General60
Agents60
Code60
Legal0
Precios
Precio de entrada$1.5 / 1M tokens
Precio de salida$9 / 1M tokens
Precio mixto (3:1)$3.375 / 1M tokens
Precio de lectura caché$0.15 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
15 proveedores
Más barato: GoogleMás caro: Cortecs
ProveedorEntradaSalida
1GoogleMás barato
$0
$0.00001
2UnoRouter
$0.1857
$1.1142
3Abacus
$1.5
$9
4SAP AI Core
$1.5
$9
5GitHub Copilot
$1.5
$9
6OpenCode Zen
$1.5
$9
7AIHubMix
$1.5
$9
8Requesty
$1.5
$9
9DevPass (LLM Gateway)
$1.5
$9
10Vertex
$1.5
$9
11Neon
$1.5
$9
12Pioneer
$1.5
$9
13Venice AI
$1.55
$9.45
14Xpersona
$1.55
$12.2
15Cortecs
$1.649
$9.899
Comparar precios entre diferentes proveedores de API para este modelo.